echoloc

Rhombus Power Inc. Tech Stack

AI decision-support platform for U.S. defense and national security

Technology, Information and Internet Palo Alto, California 51–200 employees Founded 2011 Privately Held

Rhombus Power builds AI-powered decision-support systems for government and defense sectors, processing multi-domain data (text, video, overhead imagery) through predictive models. The tech stack is heavy on data infrastructure—Python, Pandas, NumPy, PostgreSQL, MongoDB, HPC, ArcGIS—paired with containerization (Docker, Kubernetes adoption). Hiring velocity is accelerating across engineering and data roles, while active projects focus on high-value defense deployments and intelligence assessments; the pain-point pattern (security compliance gaps, annotation workforce scaling, labeling quality) suggests the core friction is operationalizing complex AI at enterprise scale in security-constrained environments.

Tech Stack 25 technologies

Core StackAWS Docker Kubernetes GitLab Python Java Pandas NumPy Scala MySQL MongoDB SQL Server Oracle PostgreSQL DynamoDB ArcGIS Azure GCP Bash QGIS Perl HBase PyArrow DISS HPC

What Rhombus Power Inc. Is Building

Challenges

  • Security compliance gaps
  • Closing high-value deals
  • Scaling annotation workforce
  • Inconsistent terminology across products
  • Complex enterprise ai software deployments
  • Expanding defense sales
  • Anticipating maritime incursions
  • Countering gray zone operations
  • Countering economic coercion campaigns
  • Maintaining labeling quality

Active Projects

  • High-value deals with defense ministries
  • Guardian
  • Ambient ai
  • Large-scale ai solution deployments with strategic national security partners
  • Strategic partnerships and agreements
  • Intelligence assessments on foreign military activities
  • High-priority ai initiatives involving text, video, and overhead imagery analysis
  • Deploying predictive models for defense and national security
  • Security compliance initiatives
  • Operational metrics tool implementation

Hiring Activity

Accelerating25 roles · 10 in 30d

Department

Engineering
8
Data
7
Sales
4
Ops
3
Security
2
Legal
1
Product
1

Seniority

Mid
9
Senior
6
Lead
4
Intern
2
Junior
2
Manager
2
Director
1

Notable leadership hires: Head of Sales, Country Lead, Head of Strategic Growth

Company intelligence

Find more companies like Rhombus Power Inc. by tech stack, pain points and active projects

Get started free

About Rhombus Power Inc.

Rhombus Power delivers real-time AI-powered decision support to U.S. Government agencies and international defense partners. The platform unifies multi-domain data sources, AI modeling, and human expertise to enable faster, more informed decision-making on national security challenges. Founded in 2011 and based in Palo Alto, the company operates across 51–200 employees with distributed hiring across the United States, India, Philippines, Taiwan, Japan, and the United Kingdom. Active work includes large-scale solution deployments, predictive model operations, and strategic partnerships with defense ministries.

HeadquartersPalo Alto, California
Company Size51–200 employees
Founded2011
Hiring MarketsIndia, United States, Philippines, Taiwan, Japan, United Kingdom

Frequently Asked Questions

What tech stack does Rhombus Power use?

Python, Java, Pandas, NumPy, PostgreSQL, MongoDB, AWS, Azure, GCP, Docker, Kubernetes, HPC, ArcGIS, and QGIS. The stack emphasizes data processing, containerization, and geospatial analysis.

Where is Rhombus Power headquartered?

Palo Alto, California. The company hires across six countries: United States, India, Philippines, Taiwan, Japan, and United Kingdom.

Similar Companies in Technology, Information and Internet

Other companies in the same industry, closest in size

How this profile is built

Rhombus Power Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.